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<table width="100%" summary="page for pluton"><tr><td>pluton</td><td align="right">R Documentation</td></tr></table>

<h2>Isotopic Composition Plutonium Batches</h2>

<h3>Description</h3>


<p>The <code>pluton</code> data frame has 45 rows and 4 columns,
containing percentages of isotopic composition of 45 Plutonium
batches.
</p>


<h3>Usage</h3>

<pre>data(pluton)</pre>


<h3>Format</h3>


<p>This data frame contains the following columns:
</p>

<dl>
<dt>Pu238</dt><dd><p>the percentages of <i>(238)Pu</i>,
always less than 2 percent.</p>
</dd>
<dt>Pu239</dt><dd><p>the percentages of <i>(239)Pu</i>,
typically between 60 and 80 percent (from neutron capture of Uranium,
<i>(238)U</i>).</p>
</dd>
<dt>Pu240</dt><dd><p>percentage of the plutonium 240 isotope.</p>
</dd>
<dt>Pu241</dt><dd><p>percentage of the plutonium 241 isotope.</p>
</dd>
</dl>



<h3>Details</h3>


<p>Note that the percentage of plutonium~242 can be computed from the
other four percentages, see the examples.
</p>
<p>In the reference below it is explained why it is very desirable to
combine these plutonium patches in three groups of similar size.
</p>


<h3>Source</h3>


<p>Available as &lsquo;<span class="file">pluton.dat</span>&rsquo; from the archive


currently <a href="http://www.agoras.ua.ac.be/datasets/clusplot-examples.tar.gz">http://www.agoras.ua.ac.be/datasets/clusplot-examples.tar.gz</a>.
</p>


<h3>References</h3>


<p>Rousseeuw, P.J. and Kaufman, L and Trauwaert, E. (1996)
Fuzzy clustering using scatter matrices,
<EM>Computational Statistics and Data Analysis</EM> <B>23</B>(1), 135&ndash;151.
</p>


<h3>Examples</h3>

<pre>
data(pluton)

hist(apply(pluton,1,sum), col = "gray") # between 94% and 100%
pu5 &lt;- pluton
pu5$Pu242 &lt;- 100 - apply(pluton,1,sum) # the remaining isotope.
pairs(pu5)
</pre>


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